Developments In Area Research Articles

EKSPLORASI KEANEKARAGAMAN BURUNG SEBAGAI DAYA TARIK UTAMA AVITOURISM DI EKOWISATA MANGROVE CUKU NYINYI, KABUPATEN PESAWARAN

Birds play a significant ecological role and are also attractive for birdwatching tourism (avitourism), particularly in mangrove ecosystems which provide habitat and food sources. Exploring the avian diversity in the Cuku NyiNyi Mangrove Ecotourism Area for avitourism development can be a conservation effort for birds and provide economic incentives for local communities. This study aimed to identify bird species as potential attractions for avitourism in the Cuku NyiNyi Mangrove Ecotourism Area. Data analysis involved determining the conservation status and criteria of birds as potential objects and attractions for avitourism. A total of 32 bird species from 19 families were identified with a total of 113 individuals. Several bird species have conservation statuses that require attention, namely the cinnamon-headed green pigeon (Treron fulvicollis) which is categorized as vulnerable (VU) and the brahminy kite (Haliastur indus), crested serpent eagle (Spilornis cheela), racket-tailed treepie (Crypsirina temia), and malaysian pied fantail (Rhipidura javanica) which are protected species. The analysis showed that 18 bird species have the potential to be objects and attractions for avitourism based on criteria such as raptors, protected species, songbirds, endemic birds, and colorful birds. The avian diversity in the Cuku NyiNyi Mangrove Ecotourism Area supports the potential for avitourism to develop as a form of sustainable tourism for the protection of bird species while attracting tourists, especially birdwatchers.

Determinants of smallholder wheat farmers’ participation in cluster farming in Lemu-Bilbilo and Hetosa Districts of Arsi Zone, Ethiopia

AbstractDespite devoting significant efforts to develop and implement policies aimed at enhancing the sustainability of its food systems, promoting resilience, and reducing greenhouse gas emissions, Ethiopia encounters constraints with these approaches. Therefore, this study was conducted to identify the determinants of smallholder farmers’ participation in wheat cluster farming in the Lemu-Bilbilo and Hetosa Districts of Arsi Zone, Ethiopia. The study utilized cross-sectional data and a multistage sampling procedure to select a total of 381 respondents from the two districts of Arsi Zone, Ethiopia. The study employed a binary probit regression to achieve the research objectives. The study indicates that sex of household head, farm size, household head education level, access to credit, membership in farmer’s cooperative, access to information from government extension, access to information on climate, and farmers climate perception were significant and positively affecting cluster farming participation, whereas distance from the nearest market and off-farm activities participation had a negative relationship with cluster farming participation decision. Cluster farming practices provide a practical means of lessening the effects of stresses related to climate change. Therefore, to increase participation in cluster farming, it is essential to strengthen efforts to raise awareness about climate change and its impacts among farming communities. The study also recommends that institutional and governmental support is essential in the areas of cooperatives, education, extension services, credit availability, climate-related information, and infrastructure development, especially in the area of market accessibility. Furthermore, the issue of gender differences in CF involvement should be addressed by policy and development initiatives.

Contact area and tissue growth dynamics shape synthetic juxtacrine signaling patterns.

Cell-cell communication through direct contact, or juxtacrine signaling, is important in development, disease, and many areas of physiology. Synthetic forms of juxtacrine signaling can be precisely controlled and operate orthogonally to native processes, making them a powerful reductionist tool with which to address fundamental questions in cell-cell communication in vivo. Here we investigate how cell-cell contact length and tissue growth dynamics affect juxtacrine signal responses through implementing a custom synthetic gene circuit in Drosophila wing imaginal discs alongside mathematical modeling to determine synthetic Notch (synNotch) activation patterns. We find that the area of contact between cells largely determines the extent of synNotch activation, leading to the prediction that the shape of the interface between signal-sending and signal-receiving cells will impact the magnitude of the synNotch response. Notably, synNotch outputs form a graded spatial profile that extends several cell diameters from the signal source, providing evidence that the response to juxtacrine signals can persist in cells as they proliferate away from source cells, or that cells remain able to communicate directly over several cell diameters. Our model suggests the former mechanism may be sufficient, since it predicts graded outputs without diffusion or long-range cell-cell communication. Overall, we identify that cell-cell contact area together with output synthesis and decay rates likely govern the pattern of synNotch outputs in both space and time during tissue growth, insights that may have broader implications for juxtacrine signaling in general.

The impact of surgical simulation and training technologies on general surgery education.

The landscape of general surgery education has undergone a significant transformation over the past few years, driven in large part by the advent of surgical simulation and training technologies. These innovative tools have revolutionized the way surgeons are trained, allowing for a more immersive, interactive, and effective learning experience. In this review, we will explore the impact of surgical simulation and training technologies on general surgery education, highlighting their benefits, challenges, and future directions. Enhancing the technical proficiency of surgical residents is one of the main benefits of surgical simulation and training technologies. By providing a realistic and controlled environment, With the use of simulations, residents may hone their surgical skills without compromising patient safety. Research has consistently demonstrated that training with simulations enhances surgical skills., reduces errors, and enhances overall performance. Furthermore, simulators can be programmed to mimic a wide range of surgical scenarios, enabling residents to cultivate the essential critical thinking and decision-making abilities required to manage intricate surgical cases. Another area of development is incorporating simulation-based training into the wider surgical curriculum. As simulation technologies become more widespread, they will need to be incorporated into the fabric of surgical education, rather than simply serving as an adjunct to traditional training methods. This will require a fundamental shift in the way surgical education is delivered, with a greater emphasis on simulation-based training and assessment.

Occupational therapy practice in psychiatric day hospitals: A scoping review

Introduction: The aim of this scoping review was to explore whether clear guidelines for the practice of occupational therapists in psychiatric day hospitals exist, both locally and globally. Methodology: Searches were conducted in January 2024; 38 articles were screened and 22 were identified for data extraction. Articles were imported onto Covidence software. Data charting was done, and data were exported into a Microsoft Excel sheet, where content analysis was performed based on the review’s objectives. Synthesis of the results was done through discussion and reported according to the PRISMA for Scoping Reviews guidelines. Results: Thirty-eight articles were included but only 22 were relevant. Group therapy, individualised therapy, vocational and community workshops were identified as common modes of intervention in psychiatric day hospitals. Occupation-based activities are integral to intervention. However, there was no explicit definition regarding the role of occupational therapy and practice guidelines for psychiatric day hospitals. Conclusion: The general scope of occupational therapy remains the same for overnight hospitals, day hospitals and community-based centres. It is mainly occupation-centred, function-orientated, and patient-centred. However, there remains ambiguity on specific practice principles and guidelines that clearly define the role of occupational therapists in day hospitals. There is a need for occupational therapy practice guidelines specific for psychiatric day hospitals. Implications for Practice The study provides valuable insights into the current knowledge and availability regarding the role and scope of practice for occupational therapy in the rapidly expanding psychiatric day hospital setting, emphasising areas for further development. Tangible evidence was identified on therapeutic principles, practice approaches, program content, and guidance for resource allocation in psychiatric day hospitals, which can be translated into practical guidelines. Ultimately, the results inform occupational therapy service delivery, solidify the profession’s role in psychiatric care, and contribute towards National Health Insurance (NHI) policy development.

Hydrogen Embrittlement of Galvanized Press-Hardened Steels: A Review

Press-hardened steels (PHS), as an alternative to traditional steels and aluminum alloys, combine great mechanical performance with low manufacturing costs. PHS are martensitic steels with ultimate tensile strength (UTS) up to 2000 MPa. These steels are commonly coated with zinc-based coatings (PHS GI) consisting of multiple Zn–Fe phases to enhance corrosion resistance. However, similar to all high-strength steels, PHS are known for their elevated susceptibility to hydrogen embrittlement (HE). Absorption of atomic hydrogen into the steel lattice can lead to a transition from a ductile to a brittle fracture mechanism and decrease the stress necessary for fracture initiation. This review examines the microstructure of PHS GI with a focus on how the manufacturing process influences key parameters of the coating. The material’s susceptibility to HE is discussed in the following sections, along with the potential for hydrogen introduction through corrosion in atmospheric environments. The relationship between the content of hydrogen and its effects on fracture behavior is discussed, along with the corrosion behavior of PHS GI. The potential areas for future research and development of PHS GI with increased HE resistance are proposed.

Revolutionizing Cytology and Cytopathology with Natural Language Processing and Chatbot Technologies: A Narrative Review on Current Trends and Future Directions

The application of chatbots and Natural Language Processing (NLP) in cytology and cytopathology is an emerging field, which is currently characterized by a limited but growing body of research. Here, a narrative review has been proposed utilizing a standardized checklist and quality control procedure for including scientific papers. This narrative review explores the early developments and potential future impact of these technologies in medical diagnostics. The current literature, comprising 11 studies (after excluding comments, letters, and editorials) suggests that chatbots and NLP offer significant opportunities to enhance diagnostic accuracy, streamline clinical workflows, and improve patient engagement. By automating the extraction and classification of medical information, these technologies can reduce human error and increase precision. They also promise to make patient information more accessible and facilitate complex decision-making processes, thereby fostering greater patient involvement in healthcare. Despite these promising prospects, several challenges need to be addressed for the full potential of these technologies to be realized. These include the need for data standardization, mitigation of biases in Artificial Intelligence (AI) systems, and comprehensive clinical validation. Furthermore, ethical, privacy, and legal considerations must be navigated carefully to ensure responsible AI deployment. Compared to the more established fields of histology, histopathology, and especially radiology, the integration of digital tools in cytology and cytopathology is still in its infancy. Building on the advancements in related fields, especially radiology’s experience with digital integration, where these technologies already offer promising solutions in mentoring, second opinions, and education, we can leverage this knowledge to further develop chatbots and natural language processing in cytology and cytopathology. Overall, this review underscores the transformative potential of these technologies while outlining the critical areas for future research and development.

The contribution of remote sensing and geographic information systems to the morphometric study of six watersheds in the tindouf region (extreme south-western Algeria)

Understanding the hydrological system and improving water resource management requires a thorough analysis of the morphometric characteristics of watersheds. This study seeks to examine the hydrological and morphometric features of the water drainage network in the Tindouf region's numerous watersheds. A digital elevation model (DEM), which is an essential digital asset in GIS, was created using a 30 m resolution SRTM satellite image. The DEM model was then used to produce a map of the drainage network for the basins in the study area. Additionally, various hydrological and geomorphological features were extracted. This research is significant in promoting economic development and improving the quality of life of residents by establishing better resource allocation and water management, determining appropriate areas for urban development, infrastructure planning, tourism, and entertainment.

EPID-01. PEDIATRIC BRAIN TUMORS IN SUB-SAHARAN AFRICA:A SYSTEMATIC REVIEW AND META-ANALYSIS

Abstract OBJECTIVE brain tumors are a global problem, leading to higher cancer-related morbidity and mortality rates in children. Despite the progressive though slow advances in neuro-oncology care, research, and diagnostics in sub-Saharan Africa (SSA), the epidemiological landscape of pediatric brain tumors (PBTs) remains underestimated. This study aimed to systematically analyze the distribution of PBT types in SSA. METHODS major databases and grey literature were searched for literature on PBTs in SSA published before October 29, 2022. A proportional meta-analysis was performed. RESULTS forty-nine studies, involving 2360 children, met the inclusion criteria for review; only 20 (40.82%) were included in the quantitative analysis. South Africa and Nigeria were the countries with the most abundant data. Glioma not otherwise specified (NOS) was the common PBT in the 4 SSA regions combined. However, medulloblastoma was more commonly reported in Southern-SSA(p=0.01) than in other regions. The prevalence and the overall pooled proportion of the 3 common PBTs was estimated at 46.27% and 0.41 (95%CI 0.32–0.50, 95% prediction interval [PI] 0.11–0.79), 25.34% and 0.18 (95%CI 0.14–0.21, 95%PI 0.06–0.40), and 12.67% and 0.12 (95%CI 0.09–0.15, 95%PI 0.04–0.29) for glioma-NOS, medulloblastoma, and craniopharyngioma, respectively. Sample size moderated the estimated proportion of glioma-NOS (p = 0.02). The highest proportion of craniopharyngiomas was in Western-SSA, and medulloblastoma and glioma-NOS in Central-SSA. CONCLUSION these findings provide insight into the trends of PBT types and the proportion of the top 3 most common tumors across SSA. Although statistical conclusions are difficult due to the inconsistency in the data. We identify critical areas for policy development and collaborations that can facilitate improved outcomes in PBTs in SSA. More accurate epidemiological studies are needed to better understand the burden of the disease and the geographic variation in their distribution, and to raise awareness in their subsequent management.

High-Order Multimodal Interaction Network for Efficient Prediction of Drug-Drug Interaction

The pharmaceutical industry places a lot of focus on preventing drug-drug interactions (DDIs). Medication interaction detection has been the primary emphasis of machine learning-based DDI prediction methods. Since studies have shown that DDIs can cause different future occurrences, it is more beneficial to predict DDI connected events while examining the mechanism behind combination medicine consumption or adverse reactions. The areas of medication development and illness diagnostics are seeing increased usage of a developing approach that predicts DDIs-associated occurrences. We examine potential interactions between the two medications as well as the kinds of interactions that can occur in this research. Additionally, we provide a strategy that relies on learning and use High-Order Multimodal Interaction Network (HOMIN) to forecast DDIs by learning feature representations. The purpose of this work is to provide HOMIN-DDI, a new method for drug-drug interaction predictions that we have developed utilizing a HOMIN architecture. First, we develop feature vectors from medication categories, targets, paths, and digestive enzymes, and we use the Jaccard similarity to evaluate how similar drugs appear. After that, we build a new HOMIN using the feature representation to predict DDIs. The results of the experiments show that the drug categories feature type, when used to the HOMIN -DDI approach, is effective. Furthermore, compared to employing only one feature, combining numerous features yields more useful and informative results. Compared to other algorithms, HOMIN-DDI performs better when it comes to predicting DDIs.

Editorial: Innovation Exists in Many Areas of Pharmaceutical Development and Commercialization

Editorial: Innovation Exists in Many Areas of Pharmaceutical Development and Commercialization

A BALANCED MONITORING SYSTEM AS AN ELEMENT OF ENTERPRISE MANAGEMENT SYSTEM

The article is dedicated to the study of a balanced monitoring system as an element of the enterprise management system. The purpose of the research is to analyze, systematize, and summarize the existing theoretical and methodological aspects of the implementation of a balanced monitoring system and to develop conceptual foundations for monitoring within the enterprise management system. The study examines in detail the role of monitoring as an essential tool in the enterprise management system, particularly in the agricultural sector. It has been determined that monitoring ensures comprehensive control and analysis of various aspects of activity, providing managers with timely and accurate information for making effective managerial decisions. The research demonstrates that promptly identifying deviations and risks allows enterprises to quickly respond to changes, adjust their actions, and minimize potential losses, which is especially important in a dynamic market environment. It is substantiated that monitoring allows enterprises to evaluate the effectiveness of their activities from different perspectives: financial, production, human resources, and environmental, contributing to the identification of strengths and weaknesses in operations and helping to determine priority areas for development. Arguments are provided regarding the importance of monitoring in strategic planning, as it provides the necessary information for forming long-term plans, considering current and projected changes in market conditions. It has been revealed that a balanced monitoring system, which takes into account not only financial but also non-financial indicators, helps to avoid a one-sided approach to enterprise management, facilitating more informed decision-making. The study on the effectiveness of using a balanced monitoring system demonstrated its positive impact on improving the competitiveness of enterprises, particularly through the optimization of resource use, improvement of product quality, and cost reduction. It is noted that monitoring plays a key role in ensuring environmental standards and social responsibility of agricultural enterprises, which is an important factor for maintaining market reputation and complying with international norms. The application of modern automated monitoring systems enables enterprises to quickly adapt to changes in the external environment, respond to demand fluctuations, and make necessary adjustments to their activities.

The allocation and fairness of hospital pharmacist human resources in China: a time-series study

BackgroundTo address the rational use of medicines in healthcare institutions, the Chinese government enacted legislation for pharmacists in 2021, emphasizing the importance of pharmacists in medical services. The allocation and equity of pharmacist human resources in healthcare institutions directly affect people’s accessibility to pharmaceutical services. The study aims to analyze the supply and demand of pharmacist human resources in Chinese healthcare institutions and evaluate the equity of their distribution to provide a reference for the rational management of pharmacist resources.MethodsThis was a time-series study that was conducted using data obtained from Health and Health Statistical Yearbook that is performed every year by the National Health Commission of the People’s Republic of China. The study included 31 provinces, municipalities, and autonomous regions and 34,354 medical institutions in mainland China, which were classified into different economic regions based on their level of economic development. The study collected healthcare technicians and pharmacist data from national healthcare institutions between 2016 and 2020. The study evaluated the level of pharmacist human resource allocation using the health resource density index. The study explored the equity of pharmacist human resource allocation from two aspects: population and geographic area, using the Gini coefficient and Theil index.ResultsThe average annual growth rates of healthcare technical staff and pharmacists in Chinese medical institutions from 2016 to 2020 were 5.67% and 3.03%, respectively. The Gini coefficients of healthcare personnel resources based on population distribution were all below 0.119, while those based on geographical area were all above 0.655. The total Theil indexes of pharmacist human resources based on population distribution were all below 0.010, while those based on geographical area were all above 0.511. In addition, the contribution rates of the within-group Theil indexes of pharmacist human resources based on population and geographical area distributions to the total Theil index were all greater than or equal to 50%.ConclusionsThe allocation level of pharmacist human resources in China continues to improve, but there are differences in different economic development areas. Currently, allocation based on population shows equity, but allocation based on geographic area shows inequity. In the future, more attention should be paid to the geographic accessibility of pharmacist human resources, and resource allocation should consider both the population served and geographic area.

Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education

In the contemporary era, Computational Thinking has emerged as a crucial skill for individuals to possess in order to thrive in the 21st century. In this context, there is a need to develop a methodology for cultivating these skills within a science and mathematics content education framework, particularly among pre-service teachers. This study aimed to investigate the impact of Educational Robotics on the development of Computational Thinking skills, with a particular focus on the role of gender, through a scientific and mathematical content teaching approach. A pre-experimental design with a quantitative approach was employed, and it was implemented with a total of 116 pre-service teachers, 38 males and 78 females. The results demonstrated a notable enhancement between the pre-test (8.11) and post-test (9.63) scores, emphasising specific concepts such as simple functions, while, and compound conditional. With respect to gender, statistically significant differences were identified prior to the intervention, but not following its implementation. The high level of Computational Thinking exhibited by both genders was comparable (53.85% in females and 55.26% in males) following the intervention. This indicates that the intervention is a promising approach for enhancing Computational Thinking proficiency, independent of gender and initial proficiency levels. The implementation of Educational Robotics in the teaching of science and mathematics enables the enhancement of Computational Thinking abilities among pre-service teachers, while reducing the observed gender disparity in this area of skill development.

Bibliometric analysis of scientific literature on the use of suppositories in the treatment of prostate cancer patients

Nowadays, cancer remains one of the main causes of death worldwide. Statistical data from various literary sources indicate that more than 130,000 people in Ukraine receive this diagnosis as a sentence every year. Cancer can affect any organs of the human body and, over time, the entire organism. In 2024, the agency of the World Health Organization on cancer and the International Agency of Cancer Research published the latest statistical estimates of this pathology in a global format, where prostate cancer is among the five most common oncological pathologies and takes the fourth place. Oncological diseases are one of the priority areas of healthcare development in accordance with the Order of the Ministry of Health of Ukraine No. 1832 dated 07.10.2022 “On Approval of Priority Areas of Healthcare Development for 2023–2025”. It was this fact that determined the choice of the direction of this research in the matter of finding information on the provision of pharmaceutical care, namely the use of a drug – a rectal suppository for the treatment of prostate cancer. The aim of the work is to carry out a bibliometric analysis and further generalize the data of the scientific literature to study the prognostic value and features of the prescription of suppositories in the treatment of prostate cancer. Materials and methods. The data search was conducted in the PubMed electronic database using the following key terms: “prostate cancer and suppositories”, “prostate cancer”. To monitor and analyze international scientific research, with the help of visualization tools and modern SciVal citation metrics using the online platform, bibliometric analysis can be performed. Using the VOSviewer functional program, bibliometric networks were constructed and visualized. Results. A map of the relationships between the most used keywords on the topics of “prostate cancer” and “prostate cancer and suppositories”, grouped into clusters for the period from 1986 to 2024, was built. The clustering of the most used keywords on the subject of “prostate cancer” for the specified period is summarized. According to the bibliographic analysis, interest in the above topic was highest in 2014 and 2021. Conclusions. According to the bibliographic analysis, the interest in the subject of the patients’ treatment with prostate cancer disease continues to grow from 1998 up to the present. The analysis of publication activity using the visualization tool of bibliometric networks VOSviewer for the period from 2014 to 2024 for the key words “prostate cancer” has shown the presence of 14 clusters. The largest cluster is devoted to modern methods of prostate cancer treatment, studies of gene rearrangement, target therapy, carcinogenesis.

AI-Driven Route Planning and Scheduling for Electric School Buses

This review paper explores the current state, recent advancements, challenges, and future perspectives of AI-driven approaches for route planning and scheduling of Electric School Buses (ESBs). The integration of artificial intelligence into energy management systems for electric vehicles has gained significant attention, particularly in optimizing school transportation. This study examines various AI techniques, including genetic algorithms, reinforcement learning, and game-theoretic approaches, applied to ESB management. Key focus areas include energy consumption estimation, battery capacity optimization, and Vehicle-to-Grid (V2G) strategies. The paper also addresses critical challenges such as data integration, security concerns, and operational constraints. Future perspectives highlight the potential of advanced AI techniques, smart grid integration, and personalized transportation solutions. By synthesizing current research and identifying key areas for future development, this review contributes to ongoing efforts to improve the efficiency, sustainability, and overall quality of school transportation systems through AI technologies.

The Pervasive Impact of Software Engineering and Architecture: A Multi-Industry Analysis

This article presents a comprehensive analysis of the ubiquitous role of software engineering and architecture across diverse industries in the modern digital landscape. Through a combination of literature review, industry case studies, and expert interviews, we examine how core software engineering principles—such as scalability, security, user experience, and data management—are applied and adapted in sectors ranging from e-commerce and fintech to healthcare, transportation, media, manufacturing, and government services. Our findings reveal both common challenges and industry-specific innovations in areas such as blockchain technology, telemedicine, autonomous vehicles, and industrial IoT. We also explore emerging trends, including the integration of artificial intelligence, edge computing, and quantum computing, and their potential impact on future software architectures. Furthermore, this article addresses critical ethical considerations and societal implications, including data privacy, job displacement, and the digital divide. By synthesizing these multifaceted perspectives, we provide valuable insights for both industry practitioners and academic researchers, highlighting the transformative power of software engineering in shaping the technological foundations of contemporary society and identifying key areas for future research and development.

The Impact of Urbanization on the Socio-Economic Status of Rural Migrants in China - A Comparison and Analysis for the Pearl River Delta and Yangtze River Delta Regions

The Pearl River Delta and Yangtze River Delta regions in China are two key areas of rapid economic development, and research has found that a large number of migrants from rural areas have been formed as a result of the rapid development of the urban agglomerations in the region, however, there is still a certain research gap on the comparison of the rural labour force populations of the two regions due to the different attractiveness of the rural transfer population in the two regions as well as the differences in the various local policies. Therefore, this paper reads the literature to compare the impact of the progress of urbanization in the Pearl River Delta and Yangtze River Delta on the economic status of rural migrants in China. The study finds that the Yangtze River Delta mainly attracts high-end technical talents while the Pearl River Delta attracts more migrant workers. Therefore, the governments of the two regions need to implement practical policies to provide migrants with corresponding protection.

ST40 electromagnetic predictive studies supported by machine learning applied to experimental database

Nuclear fusion is entering the era of power plant-scale devices, which are now undergoing extensive studies to support the design phase. Plasma disruptions pose a high risk to these classes of devices because of the large stored thermal and magnetic energy which might jeopardize machine integrity and availability. Therefore, disruptions within these devices must be virtually eliminated, and any disruptions which do happen must be highly mitigated. However, the characterisation, prediction and technology used to mitigate disruptions is still an area of active development. In this paper, the authors investigate the disruptions within ST40, with particular attention at the identification of causes and effects associated with disruptions, both from a physics basis and an engineering standpoint. This paper aims at presenting preliminary predictive analyses of ST40 plasma scenarios by exploiting Machine Learning techniques applied to an experimental database populated by plasma pulses executed during the ST40 2021–2022 experimental campaign. The database contains both disrupted and non-disrupted pulses. Using Machine Learning, common features within disruptions are automatically classified and identified, mapping the controllable operational space in terms of plasma displacement and variation of specific plasma internal parameters. The classification was validated by benchmarking the numerical reconstruction of the plasma dynamics with experimental data recovered from the plasma diagnostics. Subsequent Machine Learning analyses allowed the extrapolation of new disrupted plasma configurations for preliminary predictive simulations of the plasma column displacement. Thanks to the numerical simulations performed in MAXFEA environment, it is possible to investigate the plasma vertical displacement both during disrupted and regularly terminated plasma scenarios and to provide lessons to be learnt for the next ST40 experimental campaign and for the design of future ST devices.

Development of structures and production technologies of reinforcing wire with a screw profile

Reinforcing wire is the main structural element in reinforced concrete structures, widely used in the construction of buildings and structures for various purposes. The type of profile is important factor which determines the consumer properties of fittings. This indicator directly affects the quality of reinforcement adhesion to concrete and the properties of the wire. Currently a periodic profile is the most common type, but a screw profile is the most promising form of the profile. Two methods are used in the production of cold-formed screw profiles: applying a screw profile and torsion process. The first is carried out by rotating the profiling element, and the second by torsion of the workpiece of the shaped section. The patent and literature review of methods for obtaining cold-formed screw profiles has shown that the most effective way to obtain reinforcing wire with a screw profile is torsion, which provides, in addition to profiling, an increase in the mechanical and operational properties of the wire. With the help of the Deform-3D software package we identified impact of the profile, namely the shape of the cross section on the tension. By choosing rational torsion parameters, it is possible to achieve a favorable stress-strain state and respectively the properties of the product. One of the promising areas of development is the combination of a periodic and a screw profile, and it is necessary to obtain a screw profile using torsion deformation as a method of intense plastic deformation in order to form a uniform structure in metal with a minimum stress state in addition to the profile. We justified the application of radial shear broaching, an analogue of the radial shear rolling process, which allows to obtain a screw profile reinforcing wire with high mechanical properties due to the production of a finely dispersed structure. This method is implemented on standard drawing equipment and provides an increase in the productivity of wire production by torsion compared to other methods